5336 Data Visualization Jobs - Page 44

As a .Net Backend Developer, you will be responsible for contributing to the development and maintenance of scalable and resilient systems. With a Bachelor's or Master's degree in Computer Science or related field, you should have a solid understanding of object-oriented design principles, the .NET framework, and design patterns. Your expertise in essential technologies such as C# and SQL Server will be crucial in building event-driven systems. You should be well-versed in Agile methodologies and Test-driven development, ensuring efficient software development lifecycle practices. Having hands-on experience in developing solutions using relational database technologies on the SQL Server platform is essential. Proficiency in stored procedure programming using Transact SQL, along with skills in debugging, logging, performance monitoring, data visualization, and data analytics, will be key to your success in this role. A deep understanding of information systems, business processes, and key success drivers is required to align methodologies and policies with broader business goals. Experience in the Financial services domain would be advantageous. Preferred qualifications include familiarity with database performance tuning, ETL, and Data Management Tools. Knowledge of stream processing engines like Kafka and Spark, as well as experience with SAFe and working in AWS/Azure environments, are highly desirable. Join us in Ahmedabad or Hyderabad in a hybrid work setting, and contribute your 5-10 years of experience to our dynamic team of .Net Backend Developers.,

Gather and document business requirements. Analyze internal/external data for insights Optimize workflows and enhance efficiency Support project planning and delivery Facilitate stakeholder communication Drive technology integration and innovation Required Candidate profile 10 yrs as Business Analyst,pharma/clinical Skilled in Tableau/Power BI Veeva Vault experience preferred Knowledge of Lean/Six Sigma Agile/Waterfall project tools Strong communication & detail-oriented

About the Role: We are seeking a highly skilled and experienced Power BI Developer with a strong command of SQL to join our dynamic team. The ideal candidate will be responsible for designing, developing, and implementing impactful Power BI dashboards and reports that drive key business decisions. Key Responsibilities: Design and develop interactive dashboards, KPIs, and visual reports using Power BI. Translate business requirements into scalable BI solutions and data models. Write complex SQL queries for data extraction, transformation, and loading (ETL). Collaborate with data engineers, analysts, and business stakeholders to gather and refine reporting requirements. Optimize Power BI dashboards for performance and usability. Implement data security and user access controls within Power BI. Maintain documentation of solutions, data definitions, and processes. Required Skills & Qualifications: 5+ years of experience in BI/reporting, with Power BI development . Strong proficiency in SQL writing complex queries, stored procedures, and working with large datasets. Experience in data modeling (star/snowflake schemas), DAX, and Power Query. Hands-on experience in data visualization best practices. Good understanding of data warehousing concepts and ETL processes. Strong analytical and problem-solving skills. Ability to work independently and handle multiple priorities in a fast-paced environment.

Job Title: Business Analyst MASTERY Location: [Hyderabad /Hybrid] Experience: 7-14 years Industry/Domain: Investment Banking Or Finance Or Capital Markets / Asset Management/Treasury / Fixed Income/ Capital Markets Employment Type: Full-Time Skills :- Business Analysis Brd sqlUATUser Acceptance Testingpowerbi Data Visualizationfrddata ware houseinvestment bankingStakeholder ManagementFinancial DomainBfsi CFO- BA role for better aligning of profiles. Please share additional profiles that include experience in the following domains, along with the technical skills already being provided: Familiarity with Finance Operations concepts such as Critical Data Elements (CDEs), data traps, and reconciliation workflows. A strong understanding of statistical concepts, probability and accounting standards, financial statements (balance sheet, income statement, cash flow statement), and financial ratios. Strong understanding of life insurance products and business processes across the policy lifecycle. Investment Principles: Knowledge of different asset classes, investment strategies, and financial markets. Quantitative Finance: Understanding of financial modeling, risk management, and derivatives. Regulatory Framework: Awareness of relevant financial regulations and compliance requirements. Business Analyst The Impact: • Act as the primary interface between Investment Management teams and Data Engineering & Analytics groups. • Elicit, document, and translate complex business requirements into clear technical specifications (BRDs, FRDs, user stories, process flows). • Drive the design and implementation of investment data solutions, including data pipelines, reporting dashboards, and analytics platforms. • Support system configuration, integration, and user acceptance testing (UAT) for investment data platforms. • Collaborate with Data Engineers, Architects, and BI Developers to ensure alignment with business objectives and data strategy. • Lead or contribute to UAT planning and execution, including test case development, defect tracking, and resolution. • Maintain comprehensive documentation such as business process flows, data dictionaries, and traceability matrices. • Partner with data governance, compliance, and investment operations teams on cross-functional initiatives. The Minimum Qualifications Education: Bachelors or Masters degree in Finance, Accounting, Information Systems, or Actuarial Science. Experience: • Bachelors degree in Finance, Economics, or a related discipline. • 10+ years of experience as a BSA or similar role in data analytics or technology projects. • 5+ years of domain experience in asset management, investment management, insurance, or financial services. • Familiarity with Investment Operations concepts such as Critical Data Elements (CDEs), data traps, and reconciliation workflows. • Working knowledge of data engineering principles: ETL/ELT, data lakes, and data warehousing. • Proficiency in BI and analytics tools such as Power BI, Tableau, MicroStrategy, and SQL. • Excellent communication, analytical thinking, and stakeholder engagement skills. • Experience working in Agile/Scrum environments with cross-functional delivery teams. The Ideal Qualifications Technical Skills: • Proven track record of Analytical and Problem-Solving skills. • In-depth knowledge of investment data platforms, including GoldenSource, NeoXam, RIMES, JPM Fusion, etc. • Expertise in cloud data technologies such as Snowflake, Databricks, and AWS/GCP/Azure data services. • Strong understanding of data governance frameworks, metadata management, and data lineage. • Familiarity with regulatory requirements and compliance standards in the investment management industry. • Hands-on experience with IBORs such as Blackrock Alladin, CRD, Eagle STAR (ABOR), Eagle Pace, and Eagle DataMart. • Familiarity with investment data platforms such as GoldenSource, FINBOURNE, NeoXam, RIMES, and JPM Fusion. • Experience with cloud data platforms like Snowflake and Databricks. • Background in data governance, metadata management, and data lineage frameworks. Soft Skills: • Exceptional communication and interpersonal skills. • Ability to influence and motivate teams without direct authority. • Excellent time management and organizational skills, with the ability to prioritize multiple initiatives. • Ability to lead cross-functional teams and manage complex projects. What to Expect as Part of MassMutual and the Team • Regular meetings with the Corporate Technology leadership team • Focused one-on-one meetings with your manager • Access to mentorship opportunities • Access to learning content on Degreed and other informational platforms • Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits

Job Title: Data AnalystClient: Amazon Employment Type: Full-time (On-site) Payroll: BCT Consulting Pvt Ltd Work Location: Pune (Work from Office Monday to Friday, General Shift) Experience Required: 5+ Years Joining Mode: Permanent with BCT Consulting Pvt Ltd, deployed at Amazon Role Summary We are seeking a results-driven Data Analyst with a minimum of 5 years of experience in data visualization, reporting, and business intelligence to support strategic decisions at Amazon. The ideal candidate will have hands-on expertise in tools like Amazon Quick Sight with SQL , Power BI with SQL , or Tableau with SQL , along with experience in cloud-based solutions using AWS . Key Skills & Technologies Amazon QuickSight / Tableau / Power BI Strong SQL skills AWS (S3, Redshift, Athena, etc.) Data visualization and storytelling Data modeling and ETL processes Analytical thinking and problem-solving ability Required Qualifications Bachelor’s degree in Computer Science, Information Technology, Statistics, or a related field. Minimum 5 years of hands-on experience in data analysis and visualization. Excellent communication and stakeholder management skills.

We are looking for a highly skilled and experienced Sr. Associate to join our team in Business Analytics & Quant Trading, with 2-5 years of experience. Roles and Responsibility Develop and implement quantitative models to analyze complex business problems and provide actionable insights. Collaborate with cross-functional teams to design and execute trading strategies using advanced analytics techniques. Conduct market research and analysis to identify trends and opportunities for growth. Design and implement data visualizations to communicate complex data insights to stakeholders. Work closely with the development team to integrate new features and functionalities into existing systems. Stay up-to-date with industry trends and developments in quantitative learning and trading. Job Requirements Strong understanding of IT Services & Consulting industry operations and challenges. Experience with quantitative modeling, machine learning, and data visualization tools. Excellent analytical and problem-solving skills, with the ability to work in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. Ability to develop and maintain large-scale data systems and architectures. Strong knowledge of business analytics principles and practices, with the ability to apply them in real-world scenarios.

We are looking for a highly skilled Data Researcher to join our team at Collegedunia, with 2-4 years of experience in the field. Roles and Responsibility Conduct thorough data analysis and research to support business decisions. Develop and maintain databases and data systems to track key performance indicators. Collaborate with cross-functional teams to identify areas for improvement and implement process enhancements. Design and implement data collection methods to ensure high-quality data. Analyze large datasets to identify trends and patterns that inform business strategies. Present findings and recommendations to stakeholders through clear and concise reports. Job Requirements Strong understanding of data analysis and interpretation techniques. Experience with database management and data visualization tools. Excellent communication and problem-solving skills. Ability to work independently and as part of a team. Strong attention to detail and organizational skills. Familiarity with IT Services & Consulting industry trends and best practices.

Job Summary We are seeking a highly skilled Global Data Engineer at the Senior Associate level to support our domestic Digital Finance Transformation team. The ideal candidate will possess advanced expertise in SQL, Alteryx, Power BI, and Python, along with strong experience in current finance use cases and leading practices related to artificial intelligence (AI) and machine learning (ML). This role will focus on building robust data pipelines, developing analytics and reporting solutions, and integrating AI/ML models to drive business insights and process automation. Job Duties Key Responsibilities Collaborate closely with the stateside Digital/Finance Transformation team to understand business requirements and deliver data-driven solutions. Design, develop, and maintain ETL/ELT pipelines using SQL and Alteryx for data ingestion, transformation, and integration from multiple sources. Cleanse, structure, and transform large data sets from various sources (e.g., ERPs, APIs, cloud data lakes). Build and optimize data models and data warehouses to support analytics, reporting, and machine learning workflows. Develop, publish, and maintain interactive dashboards and reports in Power BI for finance and business stakeholders. Integrate machine learning models into data pipelines for real-time or batch inference. Integrate data quality, integrity, and security concepts across all data assets and processes. Automate data processes and workflows to improve efficiency and scalability. Document data engineering processes, data flows, and AI/ML model integration. Translate business requirements into technical solutions and deliverables. Follow best practices in data security, data governance, privacy, and compliance. Qualifications, Knowledge, Skills and Abilities Education : Bachelors or masters degree in computer science, Data Science, Engineering, or related field (preferred). Experience & Skills : Advanced proficiency in SQL for data extraction, transformation, and analysis. Hands-on experience with Alteryx for ETL/ELT workflows and data automation. Strong expertise in Power BI for data visualization, dashboard development, and report publishing. Strong expertise in Python, including data integration and analysis (preferred). Solid understanding of AI and machine learning concepts and leading practices. Experience with machine learning frameworks, data modeling, warehousing, and relational databases. Excellent problem-solving, analytical, and communication skills; comfortable working across time zones in a collaborative, fast-paced virtual environment.

Responsibilities: * Collaborate with cross-functional teams on data insights & recommendations * Analyze complex datasets using Python, SQL & Power BI * Develop dashboards & reports with Tableau & PySpark

Roles and Responsibility Design and develop visual analytics solutions using SAS Visual Analytics. Collaborate with cross-functional teams to identify business requirements and provide data-driven insights. Develop and maintain complex data models and reports. Implement data visualization best practices to create interactive and dynamic dashboards. Work closely with stakeholders to understand their needs and provide tailored solutions. Stay up-to-date with industry trends and emerging technologies in visual analytics. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Proficiency in SAS Visual Analytics and related tools. Excellent communication and problem-solving skills. Ability to work collaboratively in a team environment. Strong analytical and critical thinking skills. Experience with data modeling and reporting techniques.

Embark on a transformative journey as an AI Incubator Data Scientist at Barclays, where youll spearhead the evolution of our digital landscape, driving innovation and excellence. Youll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. Seeking a talented Data Scientist to join our Data Science team in particular our AI incubator where youll spearhead the evolution of our digital landscape, driving innovation dedicated to driving commercial value from data across the Corporate Bank. In this role, you will have the opportunity to shape and lead projects with other members of the team - leveraging machine learning techniques and AI to extract valuable insights and create tangible business impact. We embrace a design-led thinking approach that emphasizes close collaboration with business stakeholders and a fail-fast mindset. This position offers the chance to work with extensive datasets that span billions of rows, applying state-of-the-art AI techniques to unlock millions in business value. To be a successful AI Incubator- Data Scientist you should have experience with: Bachelor or masters degree in data science (or similar) or equivalent commercial experience Experience with working with senior stakeholders across the data science life cycle from inception of an idea to the delivery within a production environment Ability to translate technical work into business terms and communicate value to business stakeholders. Commercial experience in applying machine learning techniques to generate business value (e. g. clustering, classification, regression, NLP techniques) Ability to write close to production standard code with strong understanding of key coding principals e. g. separation of concerns, generalisation of code. Strong experience in Python and SQL is a must. Familiarity with AWS data science and AI services, including SageMaker and Bedrock Understanding of GenAI , LLMs and the RAG framework Proficiency in data visualization software, ideally Tableau, with exposure to QlikView, PowerBI, or similar tools Knowledge of code management methodologies and ability to implement these on projects. Some other highly valued skills may include: Experience in front end development frameworks such as Angular/React Flask/Streamlit. MVC Architecture. Experience of Agentic AI. Experience of working in a big data environment using PySpark. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role will be based in Pune. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the banks data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

Job Description: Key Responsibilities Develop, train, and evaluate machine learning models using Python, scikit-learn, and related libraries. Design and build robust data pipelines and workflows leveraging Pandas, SQL, and Kedro. Create clear, reproducible analysis and reports in Jupyter Notebooks. Integrate machine learning models and data pipelines into production environments on AWS. Work with Langchain to build applications leveraging large language models and natural language processing workflows. Collaborate closely with data engineers, product managers, and business stakeholders to understand requirements and deliver impactful solutions. Optimize and monitor model performance in production and drive continuous improvement. Follow best practices for code quality, version control, and documentation. Required Skills and Experience 10+ years of professional experience in Data Science, Machine Learning, or a related field. Strong proficiency in Python and machine learning frameworks, especially scikit-learn. Deep experience working with data manipulation and analysis tools such as Pandas and SQL. Hands-on experience creating and sharing analyses in Jupyter Notebooks. Solid understanding of cloud services, particularly AWS (S3, EC2, Lambda, SageMaker, etc. ). Experience with Kedro for pipeline development and reproducibility. Familiarity with Langchain and building applications leveraging LLMs is a strong plus. Ability to communicate complex technical concepts clearly to non-technical audiences. Strong problem-solving skills and a collaborative mindset. Nice to Have Experience with MLOps tools and practices (model monitoring, CI/CD pipelines for ML). Exposure to other cloud platforms (GCP, Azure). Knowledge of data visualization libraries (e. g. , Matplotlib, Seaborn, Plotly). Familiarity with modern LLM ecosystems and prompt engineering. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Job Description: Key Responsibilities Develop, train, and evaluate machine learning models using Python, scikit-learn, and related libraries. Design and build robust data pipelines and workflows leveraging Pandas, SQL, and Kedro. Create clear, reproducible analysis and reports in Jupyter Notebooks. Integrate machine learning models and data pipelines into production environments on AWS. Work with Langchain to build applications leveraging large language models and natural language processing workflows. Collaborate closely with data engineers, product managers, and business stakeholders to understand requirements and deliver impactful solutions. Optimize and monitor model performance in production and drive continuous improvement. Follow best practices for code quality, version control, and documentation. Required Skills and Experience 7+ years of professional experience in Data Science, Machine Learning, or a related field. Strong proficiency in Python and machine learning frameworks, especially scikit-learn. Deep experience working with data manipulation and analysis tools such as Pandas and SQL. Hands-on experience creating and sharing analyses in Jupyter Notebooks. Solid understanding of cloud services, particularly AWS (S3, EC2, Lambda, SageMaker, etc. ). Experience with Kedro for pipeline development and reproducibility. Familiarity with Langchain and building applications leveraging LLMs is a strong plus. Ability to communicate complex technical concepts clearly to non-technical audiences. Strong problem-solving skills and a collaborative mindset. Nice to Have Experience with MLOps tools and practices (model monitoring, CI/CD pipelines for ML). Exposure to other cloud platforms (GCP, Azure). Knowledge of data visualization libraries (e. g. , Matplotlib, Seaborn, Plotly). Familiarity with modern LLM ecosystems and prompt engineering. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Career Category Engineering Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases, and make people s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what s known today. ABOUT THE ROLE Role Description: The Data Quality Lead will be responsible for defining, operationalizing, and monitoring data quality capabilities to increase the quality and trust of data across Amgen. This role will be responsible for delivering strategic and tactical data quality and stewardship services. This is a vital role to support Amgen s aspirations for a FAIR data ecosystem that conforms with business needs. This role will interact with Amgen s data owners and product teams worldwide to monitor and improve data related KPIs and remediation plans. Roles & Responsibilities: Develop and implement data quality standards, metrics, and governance frameworks to ensure consistency, accuracy, and reliability of enterprise data across systems and domains. Lead root cause analysis and resolution of data quality issues by collaborating with data stewards, business stakeholders, and Technology teams to identify, prioritize, and remediate data anomalies. Establish data quality monitoring and reporting processes, including dashboards and KPIs, to track progress, highlight trends, and drive continuous improvement initiatives. Functional Skills: Must-Have Skills: Experience managing commercial data quality platforms Technical data management skills with in-depth knowledge of Pharma data standards. Aware of industry trends and priorities and can apply to governance and policies. In-depth knowledge and experience with data masking, data access controls, and technologies to enable a scalable operating model. Good-to-Have Skills: Experience managing industry external data assets (e. g. Claims, EHR, etc. ) Ability to successfully execute complex projects in a fast-paced environment and in managing multiple priorities effectively. Ability to manage projects or departmental budgets. Experience with modelling tools (e. g. , Visio). Basic programming skills, experience in data visualization and data modeling tools. Experience working with agile development methodologies such as Scaled Agile. Soft Skills: Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Doctorate degree and 2 years of Information Systems experience, or Master s degree and 6 years of Information Systems experience, or Bachelor s degree and 8 years of Information Systems experience, or Associates degree and 10 years of Information Systems experience, or 4 years of managerial experience directly managing people and leadership experience leading teams, projects, or programs. EQUAL OPPORTUNITY STATEMENT We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request and accommodation. .

We are looking to add an experienced and enthusiastic Lead Data Scientist to our Jet2 Data Science team in India. Reporting to the Data Science Delivery Manager , the Lead Data Scientist is a key appointment to the Data Science Team , with responsibility for executing the data science strategy and realising the benefits we can bring to the business by combining insights gained from multiple large data sources with the contextual understanding and experience of our colleagues across the business. In this exciting role, y ou will be joining an established team of 40+ Data Science professionals , based across our UK and India bases , who are using data science to understand, automate and optimise key manual business processes, inform our marketing strategy, and ass ess product development and revenue opportunities and optimise operational costs. As Lead Data Scientist, y ou will have strong experience in leading data science projects and creating machine learning models and be able t o confidently communicate with and enthuse key business stakeholders . Roles and Responsibilities A typical day in your role at Jet2TT: A lead data scientist would lead a team of data science team Lead will be responsible for delivering & managing day-to-day activities The successful candidate will be highly numerate with a statistical background , experienced in using R, Python or similar statistical analysis package Y ou will be expected to work with internal teams across the business , to identify and collaborate with stakeholders across the wider group. Leading and coaching a group of Data Scientists , y ou will plan and execute the use of machine learning and statistical modelling tools suited to the identified initiative delivery or discovery problem identified . You will have strong ability to analyse the create d algorithms and models to understand how changes in metrics in one area of the business could impact other areas, and be able to communicate those analyses to key business stakeholders. You will identify efficiencies in the use of data across its lifecycle, reducing data redundancy, structuring data to ensure efficient use of time , and ensuring retained data/information provides value to the organisation and remains in-line with legitimate business and/or regulatory requirements. Your ability to rise above group think and see beyond the here and now is matched only by your intellectual curiosity. Strong SQL skills and the ability to create clear data visualisations in tools such as Tableau or Power BI will be essential . They will also have experience in developing and deploying predictive models using machine learning frameworks and worked with big data technologies. As we aim to realise the benefits of cloud technologies, some familiarity with cloud platforms like AWS for data science and storage would be desirable. You will be skilled in gathering data from multiple sources and in multiple formats with knowledge of data warehouse design, logical and physical database design and challenges posed by data quality. Qualifications, Skills and Experience (Candidate Requirements): Experience in leading small to mid-size data science team Minimum 7 years of experience in the industry & 4+ experience in data science Experience in building & deploying machine learning algorithms & detail knowledge on applied statistics Good understanding of various data architecture RDBMS, Datawarehouse & Big Data Experience of working with regions such as US, UK, Europe or Australia is a plus Liaise with the Data Engineers, Technology Leaders & Business Stakeholder Working knowledge of Agile framework is good to have Demonstrates willingness to learn Mentoring, coaching team members Strong delivery performance, working on complex solutions in a fast-paced environment

KPMG India is looking for Azure Data Engineer - Consultant Azure Data Engineer - Consultant to join our dynamic team and embark on a rewarding career journey Assure that data is cleansed, mapped, transformed, and otherwise optimised for storage and use according to business and technical requirements Solution design using Microsoft Azure services and other tools The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.) Load transformed data into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics applications Build data pipelines to collectively bring together data Other responsibilities include extracting data, troubleshooting and maintaining the data warehouse

KPMG India is looking for Analyst - OFSAA Analyst - OFSAA to join our dynamic team and embark on a rewarding career journeyThe Senior Analyst plays a crucial role in driving data-driven decision-making processes within the organization. This position involves analyzing complex data sets, generating actionable insights, and providing strategic recommendations to support key business initiatives.Key Responsibilities:Data Analysis:Conduct in-depth analysis of large and complex datasets to extract meaningful insights.Utilize statistical and data visualization tools to present findings in a clear and concise manner.Strategic Planning:Collaborate with cross-functional teams to understand business objectives and provide analytical support for strategic initiatives.Develop and maintain models to support forecasting, budgeting, and other planning processes.Reporting and Dashboards:Design and create comprehensive reports and dashboards to track key performance indicators (KPIs) and metrics.Automate reporting processes to improve efficiency and accuracy.Trend Analysis:Identify trends and patterns in data to help anticipate opportunities and challenges.Provide insights on market trends, competitor analysis, and industry benchmarks.Decision Support:Assist senior management in making informed decisions by providing data-driven recommendations.Evaluate the impact of proposed strategies on business outcomes.Process Improvement:Identify areas for process improvement and efficiency gains based on data analysis.Collaborate with teams to implement changes and measure the impact.

KPMG India is looking for Consultant - Alteryx Consultant - Alteryx to join our dynamic team and embark on a rewarding career journey Undertake short-term or long-term projects to address a variety of issues and needs Meet with management or appropriate staff to understand their requirements Use interviews, surveys etc. to collect necessary data Conduct situational and data analysis to identify and understand a problem or issue Present and explain findings to appropriate executives Provide advice or suggestions for improvement according to objectives Formulate plans to implement recommendations and overcome objections Arrange for or provide training to people affected by change Evaluate the situation periodically and make adjustments when needed Replenish knowledge of industry, products and field

Associate Economics Analyst, North America (NAM) Overview The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard s efforts to build a more inclusive and sustainable digital economy MEI was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the company s product suites About the Role We are looking for an economic analyst to engage in on-soil data analytics and economic research for the European region. This individual will report to the Vice President, Lead Economist, NAM, and will have the following responsibilities: Support client and stakeholder engagements for MEI across NAM Support collaboration with external clients, academic institutions, and industry partners. Develop and test hypotheses at the intersection of economics and retail and commerce. Assist in structuring work at the stream or small project level. Identify creative analyses and develop proprietary diagnostic indices by analyzing large and complex datasets, including big data and macroeconomic data Generate initial insights to help create effective, impactful, and quality-assured storylines and visuals at the stream or small project level. Synthesize analyses into clear, sound recommendations. Outline and help write reports and draft client presentations at the work stream or project level. Enhance existing products and partner with internal stakeholders to create new solutions. Proactively seek new knowledge and structure project work to facilitate the capture of intellectual capital with minimal oversight Actively participate in new solution development and support thought leadership activities by building knowledge, know-how, and best practices related to RC economic research; share and leverage to continuously improve quality and productivity. All About You Bachelors degree in Economics (preferred), Statistics, or Mathematics. Proficiency in SQL and data visualizations Ability to think critically and problem solve, willingness to learn Excellent communication Expertise in R, Python, or other major programming language is essential Experience using data visualization tools like Tableau / Power BI. Knowledge of JavaScript for visualization is a plus. Proficiency in key econometric and statistical techniques such as predictive modeling, logistic regression, survival analysis, time series modeling, design of experiments, decision trees, and data mining methods desirable

POWER BI Location Bangalore Experience 5+ Years Lead the identification and delivery of automated reporting using modern data visualization techniques. Design and create interactive dashboards, reports, and visualizations using Power BI tools to deliver actionable insights to business users. Collaborate with stakeholders to understand their reporting requirements, translate them into technical specifications, and ensure timely delivery of high-quality BI/analytical solutions. Identify and resolve data quality issues and inconsistencies, working closely with data stakeholders to ensure data consistency and trustworthiness. Expert knowledge in Databricks, Azure SQL server, query authoring (SQL), as well as common data modelling, analytics, and visualization toolsets (Predominantly in Azure stack) Soft Skills: Ability to work independently, manage multiple projects simultaneously, and meet deadlines in a fast-paced environment. Effectively prioritize and deliver a clear roadmap of deliverables. Agile methodology would be an advantatge Coach, mentor, and inspire a team of other Power BI developers. Communicate effectively with all stakeholders, including technical and non-technical audiences. Preferred Experience with Maximo data structure and asset management concepts. Knowledge of financial systems and cost modeling. Experience with AI/ML tools for predictive analytics. Familiarity with integration frameworks About Encora Encora is a global company that offers Software and Digital Engineering solutions, with more than 9000 Encorians around the world. Our technology practices include Cloud Services, Product Engineering & Development, Data Modernization & Engineering, Digital Experience, DevSecOps, Cybersecurity, Quality Engineering, Generative AI, among others. At Encora Inc. we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Key Responsibilities:Design, develop, and maintain advanced dashboards and reports in Tableau that provide insights into user engagement, product performance, and business metrics.Utilize Databricks to process, clean, and analyze large volumes of data efficiently.Develop complex SQL queries and optimize data pipelines for analytics workflows.Collaborate with cross-functional teams to define key metrics, data requirements, and analytical approaches.Conduct deep-dive analyses and present findings with clear data storytelling to influence product and business strategies.Automate routine reporting and data validation tasks to ensure accuracy and timeliness.Mentor junior analysts and promote best practices in data visualization and analytics.Stay current with latest trends and tools in data analytics, visualization, and big data platforms.

We are looking for a skilled SAS Fraud Management (SFM) Consultant with 4 to 11 years of experience to join our team at Lericon Informatics Pvt. Ltd., located in the IT Services & Consulting industry. Roles and Responsibility Design and implement effective fraud management solutions using SAS SFM. Collaborate with cross-functional teams to identify and mitigate potential risks. Develop and maintain complex statistical models to predict fraudulent behavior. Conduct thorough analysis of data to detect anomalies and trends. Provide expert guidance on best practices for fraud prevention and detection. Stay updated with industry trends and emerging threats in fraud management. Job Requirements Strong understanding of statistics, mathematics, and computer science concepts. Proficiency in programming languages such as SAS, SQL, and Python. Experience with data visualization tools like Tableau or Power BI. Excellent communication and problem-solving skills. Ability to work in a fast-paced environment and meet deadlines. Strong analytical and critical thinking skills.

We are looking for a skilled BI Developer with expertise in SQL to join our team at Ezeiatech Systems Private Limited. The ideal candidate will have experience in the IT Services & Consulting industry and possess a strong background in business intelligence development using SQL. Roles and Responsibility Design, develop, and implement data visualizations and reports using SQL. Collaborate with cross-functional teams to identify business requirements and develop solutions. Develop and maintain databases, data warehouses, and other data storage systems. Optimize database performance, troubleshoot issues, and ensure data integrity. Work closely with stakeholders to understand business needs and provide insights. Stay up-to-date with industry trends and emerging technologies in BI development. Job Requirements Strong proficiency in SQL programming language. Experience with business intelligence tools and technologies. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills. Familiarity with data modeling and database design principles.

Bachelor s degree in computer science or similar field or equivalent work experience. 4+ years of hands-on Software/Application development experience with Informatica PowerCenter and PowerBI (visualization and modeling). Extensive working knowledge of PowerBI large data sets and modelling Extensive knowledge in DAX coding Experience in Performance analysis and tuning and Knowledge in troubleshooting tools like Tabular editor, DAX studio Experience in Incremental, Hybrid data refreshing methods Knowledge around PowerBI service and capacity managements In-depth knowledge of data warehousing and worked in star schema concepts like facts/dimension tables. Strong PowerBI modeling and data visualization experience in delivering projects. Strong in SQL and PL-SQL Strong Data Warehousing Database fundamentals in MS SQL server DB. Strong in performance testing and troubleshooting of application issues using informatica logs.

About this role: Join our dynamic and forward-thinking team within Gartners Global Strategy and Operations (GSO) division, where innovation blends with impactful results. Our Service Analytics Productivity team is at the forefront of developing cutting-edge automated data solutions for Gartner s Global Services Delivery team. We leverage data to uncover transformative insights and strategies, enhancing productivity and boosting client retention. This is your chance to be part of a high-impact analytics team, dedicated to driving automation, solving complex problems, and managing key stakeholder relationships, ultimately delivering significant and measurable business outcomes. What you ll do: Business Intelligence Development: Design, develop, and maintain robust business intelligence solutions using Power BI. Ensure these solutions are scalable and stable to support the evolving needs of the business. Problem-Solving: Independently tackle complex data challenges to create innovative solutions that push the boundaries of conventional thinking. Stakeholder Relationships: Build and nurture strong relationships with stakeholders by understanding and rationalizing automation requirements. Define success clearly and deliver high-quality automated solutions that meet stakeholder expectations. Communication: Effectively communicate project status and challenges to leaders and stakeholders, simplifying complex technical concepts for easy understanding. Data Quality: Uphold the highest standards of data quality and protection. Ensure adherence to control structures that guarantee data accuracy and quality across all data channels, fostering trust and reliability in our data-driven decisions. Ethical Standards Teamwork: Maintain the highest ethical standards while fostering a culture of teamwork and collaboration, contributing to a positive and productive work environment. What you ll need: Educational Background: Possess 2+ years of professional experience with a degree in Engineering, Math, Statistics, or related fields. Your academic foundation will be complemented by a passion for data analytics and innovation. SQL Proficiency: Demonstrate proficient SQL skills for data extraction and manipulation, enabling the creation of innovative data solutions. Data Visualization: Experience with data visualization techniques and tools for impactful storytelling through dashboards, with a primary focus on Power BI. Python: Preferred experience in Python and essential libraries such as NumPy and Pandas, with a track record of creating efficient ETL processes, preferably in Databricks. Problem-Solving Skills: Possess a knack for creative problem-solving, with sharp qualitative and quantitative abilities and a keen eye for detail and accuracy. Communication Skills: Exhibit strong written and verbal communication skills, with the ability to convey technical concepts to a non-technical audience effectively.